RomainLaroche / SPIBB
Safe Policy Improvement with Baseline Bootstrapping
☆26Updated 5 years ago
Alternatives and similar repositories for SPIBB:
Users that are interested in SPIBB are comparing it to the libraries listed below
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 2 years ago
- ☆15Updated 4 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆72Updated 2 years ago
- ☆53Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- ☆26Updated 2 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- ☆43Updated 6 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- ☆61Updated 6 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 3 years ago
- ☆98Updated 2 years ago
- ☆91Updated last year
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 5 years ago
- ☆42Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago